PAC-Bayesian inductive and transductive learning

Panel Cointegration with Global Stochastic Trends

Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig Selector

Parameter estimates for fractional autoregressive spatial processes

Parameter Estimation for Hidden Markov Models with Intractable Likelihoods

Parameter Estimation for Multiscale Diffusions

Parameter estimation in a spatial unit root autoregressive model

Parameter estimation in linear regression driven by a Gaussian sheet

Parameter Estimation in Manneville-Pomeau Processes

Parameter estimation in pair hidden Markov models

Parameter estimation of high-dimensional linear differential equations

Parameter estimation of ODE's via nonparametric estimators

Parameter identifiability and redundancy: theoretical considerations

Parameter identifiability in a class of random graph mixture models

Parameter tuning in pointwise adaptation using a propagation approach

Parameterization of Copulas and Covariance Decay of Stochastic Processes with Applications

Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models

Parametric estimation and tests through divergences and duality technique

Parametric estimation for partially hidden diffusion processes sampled at discrete times

Parametric estimation for planar random flights observed at discrete times